Can the Apple M2 Pro (32 GB) run Kimi K3 (2.8T)?

9 pts

No, it doesn’t fit

No. Kimi K3 (2.8T) needs about 1,115 GB even at Q2_K; the Apple M2 Pro (32 GB) has 21.4 GB usable.

Download Kimi K3 (2.8T)

Recommended: Q2_K. Every other quantization has its own download link in the table below.

Ollama

Ollama offers this only as a cloud model (it runs on Ollama’s servers, not your machine). To run it locally, use the GGUF files below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q2_K (UD-Q2_K_XL) files (opens in a new tab)

huggingface.co/unsloth/Kimi-K3-GGUF (opens in a new tab)

ollama run hf.co/unsloth/Kimi-K3-GGUF

Original weights · Hugging Face

Full-precision files from Moonshot AI, for fine-tuning, vLLM, Transformers.

huggingface.co/moonshotai/Kimi-K3 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Moonshot AI. The weights themselves download from Hugging Face.

github.com/MoonshotAI/Kimi-K3 (opens in a new tab)

git clone https://github.com/MoonshotAI/Kimi-K3

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the F grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	9.3 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	0.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	0.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	0.0 / 15
Total	9.3 / 100	9 ptsWon't run (F) · 9 of 100 points: Model quality 9.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the Apple M2 Pro (32 GB)

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	1,115 GB	21.4 GB	—	Won't run	9 ptsWon't run (F) · 9 of 100 points: Model quality 9.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (UD-Q2_K_XL) · folder (opens in a new tab)
`Q3_K_M`	1,365 GB	21.4 GB	—	Won't run	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.1/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`Q4_K_M`	1,698 GB	21.4 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.6/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (UD-Q4_K_XL) · folder (opens in a new tab)
`Q5_K_M`	1,976 GB	21.4 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`Q6_K`	2,282 GB	21.4 GB	—	Won't run	13 ptsWon't run (F) · 13 of 100 points: Model quality 13.1/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`Q8_0`	2,949 GB	21.4 GB	—	Won't run	13 ptsWon't run (F) · 13 of 100 points: Model quality 13.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (UD-Q8_K_XL) · folder (opens in a new tab)
`F16`	5,562 GB	21.4 GB	—	Won't run	13 ptsWon't run (F) · 13 of 100 points: Model quality 13.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Hardware that can run it

No consumer GPU or Mac in our catalog runs this model on its own.

Models that do run on the Apple M2 Pro (32 GB)

91 ptsExcellent (S) · 91 of 100 points: Model quality 39.5/45, Memory fit 24.0/25, Speed 12.5/15, Memory use 15.0/15 Gemma 4 26B-A4B Q4_K_M · 27.8 tok/s
89 ptsExcellent (S) · 89 of 100 points: Model quality 35.3/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 Qwen3.6 35B-A3B Q3_K_M · 45.6 tok/s
89 ptsExcellent (S) · 89 of 100 points: Model quality 35.2/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 Qwen3.5 35B-A3B Q3_K_M · 45.6 tok/s
88 ptsExcellent (S) · 88 of 100 points: Model quality 33.3/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 GLM-4.7 Flash (30B-A3B) Q3_K_M · 45.6 tok/s
88 ptsExcellent (S) · 88 of 100 points: Model quality 34.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 Ornith 1.5 35B-A3B Q3_K_M · 45.6 tok/s

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.